Senior Data Engineer

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Date: Oct 16, 2021

Location: New York, NY, US

Company: New York Life Insurance Co

 

When you join New York Life, you’re joining a company that values development, career growth, collaboration, innovation, and diversity & inclusion. We want employees to feel proud about being part of a company that is committed to doing the right thing. Through various resources and programs, you can grow your career while developing personally and professionally.

 

 

We are looking for a savvy Data Engineer to join our growing team of analytics experts. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.   The right candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems and projects.

 

Responsibilities:

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
  • Keep our data secure & protected

 

Qualifications:

  • 5+ years of experience in a Data Engineer role
  • Passion for data and its fundamental ability to create value!
  • Bachelor’s in Computer Science, Masters a plus
  • Advanced SQL knowledge and experience working with relational databases
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
  • A successful history of manipulating, processing and extracting value from large disconnected datasets
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Proficient knowledge TOAD, and SQL workbench
  • Knowledge of the ETL (extract, transform and load) process
  • R and Python, a plus
  • Experience with AWS Cloud services
  • Experience working with data from Data warehouses, Data marts and Data Lakes
  • Experience with data visualization / distribution and manipulating big data sets leveraging tools such as Hadoop and Data Wrangling tools
  • Knowledge of industry standard Business Intelligence (BI) solution tools, such as: Oracle, Business Objects, Tableau, preferred
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong project management and organizational skills, preferred
  • Experience supporting and working with cross-functional teams in a dynamic environment

 

 

 

 

 

#LI-JM1

. #dataengineer #dataanalyst #datascience

 

 

Please note: This role requires FINRA licensed and/or FINRA Associated Person pre-hire fingerprinting.

 

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by our Foundation. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visit LinkedIn, our Newsroom and the Careers page of www.NewYorkLife.com.J

Job Requisition ID: 84237

 

 


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